Abstract: Monitoring systems and methods incorporating wearable personal protection items such as headgear and faceshields equipped with intelligent sensor units configured to communicate with one another and simultaneously monitor personal wellness and safety protocol compliance across a community of persons.

Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Abstract: A trusted communications environment includes a primary participant with a group creator and a distributed ledger, and a secondary participant with communication credentials. An Internet of Things (IoT) network includes a trusted execution environment with a chain history for a blockchain, a root-of-trust for chaining, and a root-of-trust for archives. An IoT network includes an IoT device with a communication system, an onboarding tool, a device discoverer, a trust builder, a shared domain creator, and a shared resource directory. An IoT network includes an IoT device with a communication system, a policy decision engine, a policy repository, a policy enforcement engine, and a peer monitor. An IoT network includes an IoT device with a host environment and a trusted reliability engine to apply a failover action if the host environment fails. An IoT network includes an IoT server including secure booter/measurer, trust anchor, authenticator, key manager, and key generator.

Abstract: A method characterizes a noise event, and includes locating microphones in an environment and generating a training event at a location in the environment as a reference for a noise event. A sound sample is recorded at each microphone and phase differences between the sound samples are used to establish a noise event signature for an event at that location. A noise event may subsequently be identified by taking sound samples from the microphones associated with the noise event and using phase differences between them to identify the noise event by matching against noise event signatures.

Abstract: A method for compressing a signal, the method comprising: acquiring, via a signal recording module, a primary signal; modelling, via a processor, a model signal of the primary signal by: acquiring, via the processor, a sampled signal; acquiring, via the processor, a windowed signal; and extracting, via the processor: a fundamental frequency waveform having a fundamental magnitude and a fundamental phase; and at least one harmonic frequency waveform having a harmonic magnitude and a harmonic phase; wherein the model signal comprises the fundamental frequency waveform and the at least one harmonic frequency waveform; calculating, via the processor, an error signal between a reconstructed signal and the primary signal; determining, via the processor, an optimal gain from at least; an averaging step providing an average value, a predefined threshold, and a scaled signal.

Abstract: Some embodiments relate to computer-implemented method for determining an anomalous event in a system. The invention includes defining a Bloom filter representing predefined signature strings each indicative of an anomalous event in the system. The invention includes receiving sensor data from, sensors of the system, indicative of operational parameters associated with the system. The invention includes determining, based on the sensor data, a current signature string indicative of current operation of the system, and comparing the current signature string to the predefined signature strings to determine whether there is an anomalous event in the system, where performing the comparison includes applying the Bloom filter to the current signature string.

Abstract: A trusted communications environment includes a primary participant with a group creator and a distributed ledger, and a secondary participant with communication credentials. An Internet of Things (IoT) network includes a trusted execution environment with a chain history for a blockchain, a root-of-trust for chaining, and a root-of-trust for archives. An IoT network includes an IoT device with a communication system, an onboarding tool, a device discoverer, a trust builder, a shared domain creator, and a shared resource directory. An IoT network includes an IoT device with a communication system, a policy decision engine, a policy repository, a policy enforcement engine, and a peer monitor. An IoT network includes an IoT device with a host environment and a trusted reliability engine to apply a failover action if the host environment fails. An IoT network includes an IoT server including secure booter/measurer, trust anchor, authenticator, key manager, and key generator.

Abstract: A disaggregation and identification method arranged to disaggregate and identify aggregated electrical load data. The method comprises obtaining operation data from an automated control management system; extracting a timing sequence from the operation data for each load in the automated system; storing each timing sequence in a datastore; streaming aggregated power data from a load center associated with the system, wherein the power data comprises measured electrical signals; and recording time stamps for each new event measured from the streamed aggregated power data, wherein an event is a change in power signal at a load. The method further comprises performing nearest neighbour comparison of the recorded power time series data to the timing sequence of the operation data; mapping each event timestamp to the nearest time sequence; classifying the load according to the mapped time data; and storing the classified load profile in a datastore.

Abstract: An Internet of Things (IoT) network includes an orchestrator to issue service management requests, a service coordinator to identify components to participate in the service, and a component to perform a network service element. An IoT network includes an IoT device with service enumerator, contract enumerator, and join contract function. An IoT network apparatus includes permissions guide drafter for discovered peers, and permissions guide action executor. An IoT network apparatus includes floating service permissions guide drafter for discovered hosts, host hardware selector, floating service permissions guide executor, and service wallet value transferor. An IoT network apparatus includes permissions guide drafter for first and second discovered peers, parameter weight calculator, permissions guide term generator, and permissions guide action executor.

Abstract: An Internet of Things (IoT) network includes an IoT device with a communicator to send a communication including egress frame, protocol library builder to determine available protocols, frame analyzer to analyze an ingress frame, and frame builder to build the egress frame from the ingress frame. An IoT network includes an IoT device with network discoverer to identify available parallel communication channels between the IoT device and target device, payload, payload fragmenter/packager to fragment the payload into sub-objects for transmission, and packet communicator to send sub-objects to the target device over parallel communication channels. An IoT network includes a plurality of IoT devices, which each include a communication channel to an upstream device, a network link to another one of the plurality of IoT devices, a hash calculator to identify a neighbor IoT device, and a communicator to send out a message to the neighbor IoT device.

Abstract: A method and apparatus for monitoring an internet-of-things (IoT) battery device (IBD). An example IBD includes a radio transceiver to communicate with an IoT charging device (ICD), a battery, and a battery monitor to determine a state of charge for the battery. An alerter is included to send an alert message to the ICD, via the radio transceiver, to indicate that the SoCh is less than an alert threshold.

Abstract: A method to be carried out at an electronic device for detecting proximity to another electronic device is described. The electronic devices are capable of interaction through both low-accuracy sensing and high accuracy sensing. Low-accuracy sensing is used until a potential proximity event is detected. High-accuracy sensing is then activated, and attempts are made using high-accuracy sensing to detect a further potential proximity event corresponding to the potential proximity event. A determination is then made as to whether a proximity event has taken place—this is done using the further potential proximity event if detected, and using the potential proximity event otherwise. A suitable electronic device is also described, as is a method of training electronic devices to detect proximity to other electronic devices using a proximity estimation algorithm.

Abstract: There is provided a data transmission and compression method arranged to compress and transmit data between an edge device and a remote server. The method comprises collecting data at the edge device, wherein the data is attributed to a plurality of signal signatures; generating a data matrix at the edge device; transforming the data matrix, wherein transforming the data comprises using a wavelet transform; compressing the data, wherein compressing the data comprises utilising an autoencoder; and transmitting the encoded compressed data to the remote server via a communication channel. The method further comprises, at the remote server, decompressing the data utilising an autoencoder; reconstructing the signal signatures using an inverse wavelet transform; and storing the reconstructed data signatures in a datastore on the remote server.

Abstract: An Internet of Things (IoT) network includes an orchestrator to issue service management requests, a service coordinator to identify components to participate in the service, and a component to perform a network service element. An IoT network includes an IoT device with service enumerator, contract enumerator, and join contract function. An IoT network apparatus includes permissions guide drafter for discovered peers, and permissions guide action executor. An IoT network apparatus includes floating service permissions guide drafter for discovered hosts, host hardware selector, floating service permissions guide executor, and service wallet value transferor. An IoT network apparatus includes permissions guide drafter for first and second discovered peers, parameter weight calculator, permissions guide term generator, and permissions guide action executor.

Abstract: It is known for a product to be mass produced by way of a manufacturing process. Typically, a quality control step is used in a manufacturing process to monitor the quality of manufactured products. However, quality control procedures in manufacturing are typically labour intensive. A technician or other person must inspect the product and carry out any necessary tests. The present disclosure provides a surface roughness measurement system and method for determining a surface roughness of a product with an imaging system, a coherent light source, a light sensor and several trained machine learning algorithms.

Abstract: An Internet of Things (IoT) network includes an IoT device with a communicator to send a communication including egress frame, protocol library builder to determine available protocols, frame analyzer to analyze an ingress frame, and frame builder to build the egress frame from the ingress frame. An IoT network includes an IoT device with network discoverer to identify available parallel communication channels between the IoT device and target device, payload, payload fragmenter/packager to fragment the payload into sub-objects for transmission, and packet communicator to send sub-objects to the target device over parallel communication channels. An IoT network includes a plurality of IoT devices, which each include a communication channel to an upstream device, a network link to another one of the plurality of IoT devices, a hash calculator to identify a neighbor IoT device, and a communicator to send out a message to the neighbor IoT device.

Abstract: Methods, apparatus, systems and articles of manufacture to perform remote monitoring are disclosed. Some example methods include adjusting an image capture rate at which an image sensor captures images based on a difference image containing differences between a first image of a first set of objects and a second image of a second set of objects. Example methods also include reducing a file size of the difference image using an edge detection technique and prioritizing one or more of a set of frames based on an amount of information contained in the frames. The frames are subdivisions of the image. In further example methods, the first image is taken at a first time and the second image is taken at a second, later time, and the method includes subtracting the first image from the second image to generate the difference image.

Abstract: A method and apparatus for monitoring an internet-of-things (IoT) battery device (IBD). An example IBD includes a radio transceiver to communicate with an IoT charging device (ICD), a battery, and a battery monitor to determine a state of charge for the battery. An alerter is included to send an alert message to the ICD, via the radio transceiver, to indicate that the SoCh is less than an alert threshold.

Abstract: A method for compressing a signal, the method comprising: acquiring, via a signal recording module, a primary signal; modelling, via a processor, a model signal of the primary signal by: acquiring, via the processor, a sampled signal; acquiring, via the processor, a windowed signal; and extracting, via the processor: a fundamental frequency waveform having a fundamental magnitude and a fundamental phase; and at least one harmonic frequency waveform having a harmonic magnitude and a harmonic phase; wherein the model signal comprises the fundamental frequency waveform and the at least one harmonic frequency waveform; calculating, via the processor, an error signal between a reconstructed signal and the primary signal; determining, via the processor, an optimal gain from at least; an averaging step providing an average value, a predefined threshold, and a scaled signal.

Abstract: Systems and methods for monitoring data associated with a user of personal protective equipment (PPE) are described, including at least one sensor, at least one wireless communication device, a processor and a memory. The processor is configured to: control the at least one sensor to collect one of i) environmental data associated with the user, ii) biometric data associated with the user, or iii) positional data associated with the user; analyze at least a portion of at least one of the environmental data, the biometric data, or the positional data to determine i) that the user has removed the PPE device, ii) that the user has experienced a change in position or orientation, or iii) that the biometric data suggests an adverse health condition of the user.